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Hybrid meta-heuristic VM load balancing optimization approach

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References

  • R. Buyya , J. Broberg , and A. Goscinski , CLOUD COMPUTING Principles and Paradigms, John Wiley & Sons, 2011.
  • Yang, Chaowei , Qunying Huang , Zhenlong Li , Kai Liu , and Fei Hu , “Big Data and Cloud Computing: Innovation Opportunities and Challenges”, International Journal of Digital Earth , vol. 10, no. 1, pp.13–53, 2017. doi: 10.1080/17538947.2016.1239771
  • Y. Jadeja , and K. Modi , “Cloud Computing-Concepts, Architecture and Challenges”, Computing, Electronics and Electrical Technologies (ICCEET), International Conference, IEEE, 2012.
  • https://csrc.nist.gov/publications/detail/sp/800-145/final
  • B. P. Rimal , E. Choi , and I. Lumb , “A taxonomy and survey of cloud computing systems”, Fifth International Joint Conference on INC, IMS and IDC (NCM), pp. 44-51, 2009.
  • E.G. Talbi , Metaheuristics: from design to implementation, vol. 74. John Wiley & Sons, 2009.
  • K.-M. Cho , P.-W. Tsai , C.-W. Tsai , C.-S. Yang , “A hybrid meta-heuristic algorithm for VM scheduling with load balancing in cloud computing”, Neural Computing and Applications, vol. 26, no. 6, pp. 1297-1309, 2015. doi: 10.1007/s00521-014-1804-9
  • T. Thiruvenkadam , P. Kamalakkannan , “Energy efficient multi dimensional host load aware algorithm for virtual machine placement and optimization in cloud environment”, Indian Journal of Science and Technology ,Vol. 8, No.17, 2015. doi: 10.17485/ijst/2015/v8i17/59140
  • K. Dasgupta , B. Mandal , P. Dutta , J.K. Mondal and S. Dam , “A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing”, Journal of ScienceDirect, Vol. 10, pp. 340–347, 2013.
  • Ankit Kumar , Pankaj Dadheech , Vijander Singh , Linesh Raja & Ramesh C. Poonia (2019) An enhanced quantum key distribution protocol for security authentication, Journal of Discrete Mathematical Sciences and Cryptography , 22:4, 499-507 doi: 10.1080/09720529.2019.1637154
  • Wen Wt , Wang Cd , Wu Ds , Xie Yy , “An Aco-Based Scheduling Strategy on Load Balancing In Cloud Computing Environment”, 9th International Conf. On Frontier Of Computer Science And Technology, pp. 364-369, 2015.
  • R. Gao and J. Wu ,”Dynamic load balancing strategy for cloud computing with ant colony optimization”, Future Internet 7 , pp. 465–483, 2015. doi: 10.3390/fi7040465
  • R. Mishra and A. Jaiswal ,”Ant colony Optimization: A Solution of Load balancing in Cloud”, International Journal of Web & Semantic Technology , Vol.3, No.2, pp. 33-50, 2012. doi: 10.5121/ijwest.2012.3203
  • S. Pandey , L. Wu , S.M. Guru , R. Buyya , “A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments», Proc. IEEE Int. Conf. Adv. Inform. Netw. Appl .,pp. 400-407, 2010.
  • S.E. Dashti , A.M. Rahmani , “Dynamic VMS placement for energy efficiency by PSO in cloud computing”. J Exp Theor Artif Intell 28(1–2), 97–112, 2016. doi: 10.1080/0952813X.2015.1020519
  • A. Ashraf , I. Porres , “Multi-objective dynamic virtual machine consolidation in the cloud using ant colony system”. Int. J. Parallel Emerg. Distrib. Syst ., vol. 33, pp.103–120, 2018. doi: 10.1080/17445760.2017.1278601
  • H. John , GeneticAlgorithms.http://www2.econ.iastate.edu/tesfat-si/holland.gaintro.htm, 2011.
  • J. Kennedy and R. Eberhart , “Particle swarm optimization”, in Proc . IEEE Int. Conf. Neural Netw ., Vol. 4. Perth, WA, Australia, pp. 1942–1948, 1995.
  • Arunesh Kumar Singh , Ibraheem Nasiruddin , Amit Kumar Sharma & Abhinav Saxena (2019) Implicit control of eddy current braking system using fuzzy logic controller (FLC) and particle swarm optimisation (PSO), Journal of Discrete Mathematical Sciences and Cryptography , 22:2, 253-275 doi: 10.1080/09720529.2019.1582871
  • Y.J. Gong , J.J. Li , Y. Zhou , Y. Li , H.S.H. Chung , Y.H. Shiand , J. Zhang , “Genetic learning particle swarm optimization”, IEEE transactions on cybernetics , vol. 46, no. 10, pp. 2277-2290, 2016. doi: 10.1109/TCYB.2015.2475174
  • B. Xue , M. Zhangand , W.N. Browne , “Particle swarm optimization for feature selection in classification: A multi-objective approach”, IEEE Trans. Cybern ., vol. 43, no. 6, pp. 1656–1671, 2013. doi: 10.1109/TSMCB.2012.2227469
  • D. Boudjehem and B. Boudjehem , “Improved heterogeneous particle swarm optimization”, Journal of Informationand Optimization Sciences , vol.38, no.3-4, pp. 481-499, 2017. doi: 10.1080/02522667.2016.1224467

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